from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master rigorous data analysis with this focused, hands-on course. Learn to model damped oscillations, apply signal processing and filtering, and handle noisy time-series data with confidence. You will practice nonlinear fitting, uncertainty quantification, model diagnostics, and robust residual analysis while building reproducible workflows, clear figures, and concise technical reports ready for publication or review.
Elevify advantages
Develop skills
- Time-series preprocessing: clean, resample, and detrend noisy physics data fast.
- Signal processing: apply FFT, filters, and wavelets to extract physical parameters.
- Model fitting: run nonlinear least squares and robust fits for damped oscillators.
- Uncertainty analysis: use bootstrap, covariance, and Bayesian tools to quantify error.
- Model diagnostics: test residuals, compare models, and report high-quality fits.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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